CSV Data Explorer

What This Does

A CLI tool to explore, analyze, and visualize CSV data directly from the terminal. Load CSV files, filter rows, calculate statistics, generate summaries, and create basic visualizations without leaving your terminal.

Key features:

• - Load and preview CSV files with automatic delimiter detection
• Explore data structure - view columns, data types, missing values
• Filter rows based on conditions (equality, inequality, contains, regex)
• Select columns - include/exclude specific columns
• Calculate statistics - mean, median, min, max, standard deviation, percentiles
• Generate summaries - count, unique values, frequency distributions
• Basic visualizations - histograms, bar charts, scatter plots (ASCII or simple terminal output)
• Export results - filtered data, statistics, summaries to new CSV/JSON files
• Interactive mode - step-by-step exploration with prompts
• Command-line mode - scriptable operations for automation

When To Use

• - You need to quickly explore CSV data without opening spreadsheets
• You want to filter and analyze data for reporting or debugging
• You need to calculate basic statistics on datasets
• You're working on servers/remote machines without GUI tools
• You want to automate CSV data processing in scripts
• You need to share analysis results with team members
• You're teaching data analysis concepts in terminal environment

Usage

Basic commands:

CODEBLOCK0

Examples

Example 1: Preview and basic statistics

CODEBLOCK1

Output:
CODEBLOCK2

Example 2: Filter and calculate statistics

CODEBLOCK3

Output:
CODEBLOCK4

Example 3: Generate histogram

CODEBLOCK5

Output (ASCII approximation):
CODEBLOCK6

Example 4: Interactive mode

CODEBLOCK7

Interactive mode guides you through:

1. 1. File loading and preview
2. Column selection and filtering
3. Statistical analysis
4. Visualization options
5. Export results

Requirements

• - Python 3.x
• INLINECODE0 library for data manipulation (installed automatically or via pip)
• INLINECODE1 library for visualizations (optional, for enhanced charts)

Install missing dependencies:
CODEBLOCK8

Limitations

• - Large files (>100MB) may be slow to process
• Visualizations are ASCII-based or simple terminal plots
• No support for Excel files or other formats (CSV only)
• Limited to basic statistical functions (not advanced analytics)
• No support for time series analysis or complex aggregations
• Memory usage scales with file size
• No built-in support for database connections
• No support for streaming/processing very large datasets
• Visualizations limited to terminal capabilities
• No support for geographic data or maps
• Limited error handling for malformed CSV files
• No built-in data cleaning or transformation functions
• Performance may be slower than specialized tools like R or specialized libraries

Directory Structure

The tool works with CSV files in the current directory or specified paths. No special configuration directories are required.

Error Handling

• - Invalid CSV files show helpful error messages with line numbers
• Missing columns suggest available column names
• Type conversion errors show expected vs actual types
• Memory errors suggest using smaller files or filtering first
• File not found errors suggest checking path and permissions

Contributing

This is a skill built by the Skill Factory. Issues and improvements should be reported through the OpenClaw project.